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I'm a MSc graduate in Artificial Intelligence & Data Analytics with practical experience building ML and deep learning models using Python, PyTorch and scikit-learn. I've worked across healthcare, fintech and applied AI projects, focusing on model development, evaluation and explainability. I enjoy analysing complex datasets and communicating findings clearly to technical and non-technical teams. I'm looking to grow my career in the UK in Data Science and AI, ideally in roles where I can develop reliable models and contribute to meaningful, production-focused work.…I'm a MSc graduate in Artificial Intelligence & Data Analytics with practical experience building ML and deep learning models using Python, PyTorch and scikit-learn. I've worked across healthcare, fintech and applied AI projects, focusing on model development, evaluation and explainability. I enjoy analysing complex datasets and communicating findings clearly to technical and non-technical teams. I'm looking to grow my career in the UK in Data Science and AI, ideally in roles where I can develop reliable models and contribute to meaningful, production-focused work.

Jaleh Kouchakamoli

Data Scientist, AI Engineer, AI Developer, +2

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I'm a MSc graduate in Artificial Intelligence & Data Analytics with practical experience building ML and deep learning models using Python, PyTorch and scikit-learn. I've worked across healthcare, fintech and applied AI projects, focusing on model development, evaluation and explainability. I enjoy analysing complex datasets and communicating findings clearly to technical and non-technical teams. I'm looking to grow my career in the UK in Data Science and AI, ideally in roles where I can develop reliable models and contribute to meaningful, production-focused work.…I'm a MSc graduate in Artificial Intelligence & Data Analytics with practical experience building ML and deep learning models using Python, PyTorch and scikit-learn. I've worked across healthcare, fintech and applied AI projects, focusing on model development, evaluation and explainability. I enjoy analysing complex datasets and communicating findings clearly to technical and non-technical teams. I'm looking to grow my career in the UK in Data Science and AI, ideally in roles where I can develop reliable models and contribute to meaningful, production-focused work.

Available to hire

I’m a MSc graduate in Artificial Intelligence & Data Analytics with practical experience building ML and deep learning models using Python, PyTorch and scikit-learn. I’ve worked across healthcare, fintech and applied AI projects, focusing on model development, evaluation and explainability.

I enjoy analysing complex datasets and communicating findings clearly to technical and non-technical teams. I’m looking to grow my career in the UK in Data Science and AI, ideally in roles where I can develop reliable models and contribute to meaningful, production-focused work.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Persian

Fluent

German

Advanced

French

Beginner

Work Experience

Data Scientist at Confidential Pharmaceutical Client

October 1, 2025 - December 31, 2025

Designed and implemented AI models for solubility prediction in pharmaceutical compounds. Built explainable ML workflows using SHAP and structured datasets. Delivered technical reports and model performance documentation bi-weekly to project lead. Collaborated with the R&D team to support model validation and deployment readiness.

AI Research Collaborator at Sysdoc

March 1, 2024 - April 30, 2024

Preprocessed and explored financial process data in Python; iterated ML baselines; produced stakeholder visuals that informed change-management priorities. Collaborated in an Agile, cross-functional research environment, translating ML outputs into stakeholder-ready reports and aligning technical results with non-technical business objectives. Applied feature engineering, error analysis, and model evaluation techniques to detect operational inefficiencies and propose data-driven optimizations aligned with business priorities.

Network Engineering Intern at C.I.R. Organization

October 1, 2019 - December 31, 2019

Implemented monitoring and automation scripts in Python, increasing system reliability and reducing unplanned outages. Conducted data-driven performance analysis and vulnerability assessments to improve network security and operational efficiency. Supported the design of automated risk detection pipelines and optimization strategies, contributing to the broader adoption of data-centric decision-making within the engineering team.

Project Lead – Explainable AI Pipeline for SME Loan Approval at Chelsea AI Selection Project (Remote)

July 1, 2025 - July 31, 2025

Designed and implemented an explainable AI pipeline for SME loan approval by integrating XGBoost models with SHAP explainability and a RAG workflow (LangChain + OpenAI) grounded in regulatory policy documents. Developed a combined prediction–explanation architecture, improving interpretability for non-technical stakeholders and aligning model outcomes with compliance and risk requirements. Delivered a functional prototype deployable via Streamlit and REST APIs, with potential extensions into fraud detection and related domains.

Researcher – Master Dissertation at London, UK (Home Project)

June 1, 2024 - October 31, 2024

Predicted diabetes using ML/DL models on EHR data; built and benchmarked multiple models (Logistic Regression, Random Forest, XGBoost, ANN, CNN, LSTM) with preprocessing (SMOTE, feature selection, normalization) and evaluated with F1-score up to 93.7% using LSTM. Applied SHAP and LIME for interpretability and built Streamlit demos to showcase models; established robust validation and data quality checks.